
Problems on Algorithms A Comprehensive Exercise Book for Students in Software Engineering
Habib Izadkhah
2022 · 2023 edition
513 pages
Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. This list shows the ones first published in 2022.

Habib Izadkhah
2022 · 2023 edition
513 pages

Yong Shi
Published 2022
728 pages

G Amaresan
Published 2022
208 pages

Sinchan Banerjee
Published 2022
382 pages

Larisa Ivascu, Lucian-Ionel Cioca, Florin Gheorghe Filip
Published 2022
172 pages

Joe Cheravitch, Raphael S. Cohen, Elina Treyger
Published 2022
220 pages

George K. Thiruvathukal
Published 2022
438 pages

Alin Khaliduzzaman
Published 2022
156 pages

Quentin E. Hodgson, Edward W. Chan, Elizabeth Bodine-Baron, Bryan Boling, Benjamin Boudreaux
Published 2022
58 pages

Michael Hsieh
Published 2022
326 pages

Evgeny Burnaev, Dmitry I. Ignatov, Sergeĭ Ivanov, Olessia Koltsova, Andrei Kutuzov
Published 2022
239 pages

Sakti Mishra
Published 2022
430 pages

José Bravo, Sergio Ochoa, Jesus Favela
Published 2022
1121 pages

Cheng-Ching Yu, Tien Yin Wong
Published 2022
284 pages

Avadhesh Kumar
Published 2022
170 pages

Tan Yigitcanlar, Nayomi Kankanamge
Published 2022
408 pages

Ahmed Bounfour
Published 2022
308 pages

Scott McCoy
Published 2022
578 pages

Sathiyaraj Rajendran
Published 2022
214 pages

Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Bjö Þór Jónsson
2022 · 2024 edition
432 pages

Pushpa Singh, Divya Mishra, Kirti Seth
Published 2022
290 pages

Miguel Botto-Tobar, Omar S. Gómez, Raul Rosero Miranda, Washington Luna-Encalada, Angela Díaz Cadena
Published 2022
312 pages

Oscar Corcho, Laura Hollink, Oliver Kutz, Nicolas Troquard, Fajar Ekaputra
2022 · 2024 edition
507 pages

Published 2022
572 pages